TY - GEN
T1 - Lightweight Line Features for Indoor Camera Pose Estimation
AU - Geva, Amir
AU - Rotstein, Hector
N1 - Publisher Copyright: © 2018 IEEE.
PY - 2018/11/13
Y1 - 2018/11/13
N2 - Pose estimation in an indoor environment is of utmost importance for robotic applications. With the absence of a ubiquitous GPS alternative, vision based methods become the go-to approach. This paper introduces a light-weight method for orientation and position estimation from a single frame based on typical indoor architectural features. This method can be used in an autonomous micro aerial vehicle to navigate in real-time with a limited on board processor.
AB - Pose estimation in an indoor environment is of utmost importance for robotic applications. With the absence of a ubiquitous GPS alternative, vision based methods become the go-to approach. This paper introduces a light-weight method for orientation and position estimation from a single frame based on typical indoor architectural features. This method can be used in an autonomous micro aerial vehicle to navigate in real-time with a limited on board processor.
UR - http://www.scopus.com/inward/record.url?scp=85059102486&partnerID=8YFLogxK
U2 - 10.1109/IPIN.2018.8533690
DO - 10.1109/IPIN.2018.8533690
M3 - Conference contribution
T3 - IPIN 2018 - 9th International Conference on Indoor Positioning and Indoor Navigation
BT - IPIN 2018 - 9th International Conference on Indoor Positioning and Indoor Navigation
T2 - 9th International Conference on Indoor Positioning and Indoor Navigation, IPIN 2018
Y2 - 24 September 2018 through 27 September 2018
ER -